Dedrone Adds Flight Pattern Recognition, Heatmaps & More to Drone Tracking Solution
Dedrone says these updates make DroneTracker 4 the most detailed and actionable counter-drone platform for security professionals to understand drone activity.
SAN FRANCISCO — Dedrone, developer of a drone detection software platform for airspace security, announces the launch of DroneTracker 4, which detects, localizes and tracks simultaneous drones to protect against advanced drone threats.
DroneTracker 4 software uses Dedrone’s DroneDNA database to recognize and classify RF, WiFi and autonomous drones approximately one kilometer away from a protected site, according to the company.
Enhancements added to DroneTracker 4 include:
- Drone Flight Pattern Recognition: New airspace analytics tools uncover patterns in drone activity in the airspace, enabling users to better understand the intention of the drone flight and the potential impacts of the incursion
- Heatmaps: Visual cues provide DroneTracker users with a quick overview of unauthorized drone activity in a broad area and indicate locations of interest and hot spots to investigate further or invest additional resources
- Scheduled Reports: Regular, automated reporting proactively provides stakeholders with a modernized framework to compare data and assess their airspace activity patterns
Together, Dedrone says these updates and advancements make DroneTracker the most detailed and actionable counter-drone platform for security professionals to understand drone activity and protect critical assets.
“The Dedrone platform enables all security providers to accurately and quickly assess their airspace threats, and make decisions on how to react to drone intrusions,” says Joerg Lamprecht, CEO and co-founder of Dedrone. “We developed DroneTracker 4 for our customers to maximize how they interact with detection data and help them create intelligent airspace security protocols. DroneTracker 4 helps security providers understand what the drone pilots are after and take strategic precautions to protect their operations.”
Dedrone’s software is a machine learning network using information from a proprietary database, DroneDNA. DroneTracker gathers intelligence from various sensors, including radio frequency and WiFi scanners, microphones and cameras, to detect drones over a mile away from a protected site and determine the communications protocol of the drone and its flight path. Once a drone is detected, the software alerts security personnel and can be integrated to deploy a passive security measure or defeat technology.
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